code: def test_no_classes_raise_error():
      with pytest.raises(ValueError, match="classes"):
          efficientnet.HyperEfficientNet(input_shape=INPUT_SHAPE_32)
  
file_path: keras-tuner/keras_tuner/applications/efficientnet_test.py
imports: import numpy
  import pytest
  from keras_tuner.applications import efficientnet
  from keras_tuner.backend import config
  from keras_tuner.backend import keras
  from keras_tuner.engine import hypermodel
  from keras_tuner.engine import hyperparameters
label_desc: Use image node_id 10 for calling a global function with example usage: test_no_classes_raise_error() without return types